From 8f1e6d87f778341efc0e1ee915fc144e4a6fb7dd Mon Sep 17 00:00:00 2001 From: Spencer Schaber Date: Fri, 14 Feb 2025 13:46:53 -0600 Subject: [PATCH] Update Overview.md --- docs/Overview.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/Overview.md b/docs/Overview.md index 3ecf3da3..3cac48a9 100644 --- a/docs/Overview.md +++ b/docs/Overview.md @@ -21,7 +21,7 @@ Distributed multi-agent workflows can run on one or more Naptha nodes (rather th The Web of Agents can bring about increased performance compared to monolithic systems through: * **Heterogeneity:** Diversity in model ensembles contributes to improved overall performance [^1]. There is a phenomenon called "collaborativeness" where LLMs tend to generate better responses when given outputs from other models even if those other models are less capable [^2]. Diversity of architectures, knowledge, and tools also improves performance [^3]. -* **Scalability:** Brute-force ensemble of smaller LLMs can achieve comparable or superior performance to larger LLMs [^4]. Just as increasing neurons in a neural network leads to emergent capabilities, increasing agents in a multi-agent system may too enablle emergent capabilities [^5]. +* **Scalability:** Brute-force ensemble of smaller LLMs can achieve comparable or superior performance to larger LLMs [^4]. Just as increasing neurons in a neural network leads to emergent capabilities, increasing agents in a multi-agent system may too enable emergent capabilities [^5]. Furthermore, agents running across a network of nodes can lead to enhanced: